| 电磁散射特征提取与成像识别算法综述 |
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| 引用本文： | 邢孟道,谢意远,高悦欣,张金松,刘嘉铭,吴之鑫.电磁散射特征提取与成像识别算法综述[J].雷达学报,2022,11(6):921-942. |
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| 作者姓名： | 邢孟道 谢意远 高悦欣 张金松 刘嘉铭 吴之鑫 |
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| 作者单位： | 1.西安电子科技大学雷达信号处理国家重点实验室 西安 7100712.西安电子科技大学前沿交叉研究院 西安 7100713.西安电子科技大学空间科学与技术学院 西安 710071 |
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| 基金项目： | 国家自然科学基金杰出青年基金(61825105) |
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| 摘 要： | 合成孔径雷达(SAR)图像的自动化解译是合成孔径雷达技术应用的重要发展方向之一。电磁散射特征与目标结构具有稳健的关联性，是SAR图像解译的关键支撑。近年来，如何准确地实现电磁特征提取以及利用电磁特征反演目标特性受到了广泛的重视。该文讨论了电磁特征提取和基于电磁散射特征识别方法的研究成果，总结归纳了其中的关键要素和主要思路，详述了电磁散射机理在成像和识别领域的扩展应用，展望了未来电磁散射特征提取与应用的研究发展趋势。
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| 关 键 词： | 合成孔径雷达 电磁散射特征 参数估计 雷达成像算法 目标识别 |
| 收稿时间： | 2022-11-30 |
Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review |
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| XING Mengdao,XIE Yiyuan,GAO Yuexin,ZHANG Jinsong,LIU Jiaming,WU Zhixin.Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review[J].Journal of Radars,2022,11(6):921-942. |
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| Authors: | XING Mengdao XIE Yiyuan GAO Yuexin ZHANG Jinsong LIU Jiaming WU Zhixin |
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| Affiliation: | 1.National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China2.Academy of Advanced Interdisciplinary Research, Xidian University, Xi’an 710071, China3.School of Aerospace Science And Technology, Xidian University, Xi’an 710071, China |
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| Abstract: | One remarkable trend in applying synthetic aperture radar technology is the automatic interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering characteristics have a robust correlation with the target structure, which provides key support for SAR image interpretation. Therefore, elucidating how to extract accurate electromagnetic characteristics and how to use these electromagnetic characteristics to retrieve target characteristics has been widely valued recently. This study discusses the research accomplishments, summarizes the key elements and ideas of electromagnetic characteristic extraction and electromagnetic-characteristic-based target recognition, and details the extension applications of the electromagnetic scattering mechanism in imaging and recognition. Finally, the future research direction of electromagnetic scattering characteristic extraction and application was proposed. |
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